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Relationship between the number of hospitalized cardiovascular and respiratory disease and the average concentration of criteria air pollutants (CAP) in Ahvaz

机译:住院心血管和呼吸疾病数量与Ahvaz中的标准空气污染物(帽)的平均浓度的关系

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This study aims to investigate the relationship between the number of hospitalized cardiovascular and respiratory patients and the average concentration of criteria air pollutants, including NO2, SO2, CO, O-3 and PM10 in Ahvaz in the period of 10 years (2007-2017). Data on referrals and the number of hospitalized cardiovascular and respiratory patients and also on air pollutants are obtained through Hospital Information System and air quality monitoring stations including Department of Environment Protection Station, Naderi Square Station, University Square Station and the Meteorological Organization Station. The data were analyzed by SPSS version 4 and Poisson distribution regression model to evaluate the effects of each pollutant and the rate of hospitalization. In this study, confidence interval and the significance level are considered at 95% and 5%, respectively. Changes in air pollution indices and number of patients with cardiovascular diseases were evaluated using Excel, Stata and ARIMA models. Based on the results of Poisson regression analysis, there was a significant relationship between the average concentration of NO2, O-3, CO and SO2 and hospitalization of patients with cardiovascular disease, with a confidence level of less than 5%. This was the case with NO2 more than other pollutants. Furthermore, there was a significant relationship between the average concentrations of NO2, CO and O-3 and the hospitalization rate of patients with respiratory problems and a confidence level of 5%. The effect of NO2 was also higher here. Due to the results, NO2, CO, and O-3 had a significant direct correlation with cardiovascular and respiratory rates. The effect of NO2 has been higher than other pollutants. In the study of time intervals of patients with cardiovascular, the results of time-interval analysis indicate the relationship between cardiovascular clients with the "t" time of 7 days earlier and NO2 as a pollutant. The results of this analysis also revealed the relationship between respiratory patients at the time "t" up to 7 days before and O-3.
机译:本研究旨在探讨住院心血管和呼吸患者数量与标准空气污染物的平均浓度之间的关系,包括在10年(2007-2017)期间AHVAZ中的NO2,SO2,CO,O-3和PM10 。通过医院信息系统和空气质量监测站,包括环境保护站,纳迪广场站,大学广场站和气象组织站,获得关于调节心血管和呼吸患者及住院心血管和呼吸患者及空气污染物的数据。通过SPSS版本4和泊松分布回归模型分析数据,以评估每个污染物和住院率的影响。在本研究中,置信区间和显着性水平分别以95%和5%的方式考虑。使用Excel,Stata和Arima模型评估空气污染指数的变化和心血管疾病患者的数量。基于泊松回归分析的结果,NO2,O-3,CO和SO2的平均浓度与心血管疾病患者的住院之间存在显着关系,置信水平小于5%。这是不是除其他污染物的情况。此外,NO2,CO和O-3的平均浓度与呼吸问题患者的住院率和5%的置信度之间存在显着关系。 NO2的效果在这里也更高。由于结果,NO2,CO和O-3与心血管和呼吸率具有显着的直接相关性。 NO2的效果高于其他污染物。在患有心血管患者的时间间隔的研究中,时间间隔分析结果表明心血管客户与早期7天的“T”时间和NO2作为污染物的关系。该分析的结果还揭示了呼吸患者在呼吸患者的关系“T”,最多7天和O-3。

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